Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven innovations and computational methods

AI-driven innovations and computational methods

Showing 13-24 of 88 articles

Connecting dark matter research with fluid dynamics via multi-modal embodiment

For exascale system integration of modular fusion reactor diagnostics

Probing ultrafast molecular dynamics within attosecond timeframes using solvent selection engines

Employing retrieval-augmented generation to accelerate materials discovery for solid-state batteries

Via computational lithography optimizations for 0.7nm semiconductor node patterning

Preparing for 2032 processor nodes via superconducting memristor crossbar arrays

Through EUV mask defect mitigation via AI-driven pattern correction for 2nm chips

Upgrading 1990s technologies with modern AI-driven signal processing algorithms

Via generative design optimization for lightweight aerospace alloy components

Designing 2040 urban mobility networks using AI-driven traffic simulation and renewable energy hubs

Upgrading 1990s technologies with reaction prediction transformers for asteroid composition analysis

Using computational retrosynthesis to accelerate discovery of biodegradable polymers